RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 5 -M 1.0 -V 0.001 -S 1
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast


Correctly Classified Instances         268               67      %
Incorrectly Classified Instances       132               33      %
Kappa statistic                          0.3398
Mean absolute error                      0.3777
Root mean squared error                  0.4845
Relative absolute error                 75.4464 %
Root relative squared error             96.7486 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.667    0.327    0.660      0.667    0.663      0.340    0.716     0.681     0
                 0.673    0.333    0.680      0.673    0.676      0.340    0.716     0.718     1
Weighted Avg.    0.670    0.330    0.670      0.670    0.670      0.340    0.716     0.700     

=== Confusion Matrix ===

   a   b   <-- classified as
 130  65 |   a = 0
  67 138 |   b = 1
Logistic

=== Evaluation result ===

Scheme: Logistic
Options: -R 1.0E-8 -M -1 -num-decimal-places 4
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         251               62.75   %
Incorrectly Classified Instances       149               37.25   %
Kappa statistic                          0.255 
Mean absolute error                      0.4217
Root mean squared error                  0.467 
Relative absolute error                 84.2353 %
Root relative squared error             93.2438 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.631    0.376    0.615      0.631    0.623      0.255    0.706     0.697     0
                 0.624    0.369    0.640      0.624    0.632      0.255    0.706     0.720     1
Weighted Avg.    0.628    0.372    0.628      0.628    0.628      0.255    0.706     0.709     

=== Confusion Matrix ===

   a   b   <-- classified as
 123  72 |   a = 0
  77 128 |   b = 1
NaiveBayes

=== Evaluation result ===

Scheme: NaiveBayes
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         265               66.25   %
Incorrectly Classified Instances       135               33.75   %
Kappa statistic                          0.324 
Mean absolute error                      0.4128
Root mean squared error                  0.495 
Relative absolute error                 82.4534 %
Root relative squared error             98.8471 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.636    0.312    0.660      0.636    0.648      0.324    0.677     0.635     0
                 0.688    0.364    0.665      0.688    0.676      0.324    0.677     0.677     1
Weighted Avg.    0.663    0.339    0.662      0.663    0.662      0.324    0.677     0.657     

=== Confusion Matrix ===

   a   b   <-- classified as
 124  71 |   a = 0
  64 141 |   b = 1
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 4 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         239               59.75   %
Incorrectly Classified Instances       161               40.25   %
Kappa statistic                          0.2008
Mean absolute error                      0.4154
Root mean squared error                  0.4995
Relative absolute error                 82.9781 %
Root relative squared error             99.7336 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.749    0.546    0.566      0.749    0.645      0.211    0.660     0.615     0
                 0.454    0.251    0.655      0.454    0.536      0.211    0.660     0.697     1
Weighted Avg.    0.598    0.395    0.612      0.598    0.589      0.211    0.660     0.657     

=== Confusion Matrix ===

   a   b   <-- classified as
 146  49 |   a = 0
 112  93 |   b = 1
SMO

=== Evaluation result ===

Scheme: SMO
Options: -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -E 2.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         252               63      %
Incorrectly Classified Instances       148               37      %
Kappa statistic                          0.2614
Mean absolute error                      0.37  
Root mean squared error                  0.6083
Relative absolute error                 73.9014 %
Root relative squared error            121.4555 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.672    0.410    0.609      0.672    0.639      0.263    0.631     0.569     0
                 0.590    0.328    0.654      0.590    0.621      0.263    0.631     0.596     1
Weighted Avg.    0.630    0.368    0.632      0.630    0.630      0.263    0.631     0.583     

=== Confusion Matrix ===

   a   b   <-- classified as
 131  64 |   a = 0
  84 121 |   b = 1
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.8 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H 20 -D
Relation: dataset_abu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.unsupervised.attribute.NumericToNominal-Rlast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.Logistic -F 5 -T 0.01 -R 1 -E AUC -- -R 1.0E-8 -M -1 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correctly Classified Instances         250               62.5    %
Incorrectly Classified Instances       150               37.5    %
Kappa statistic                          0.2495
Mean absolute error                      0.4281
Root mean squared error                  0.4697
Relative absolute error                 85.5099 %
Root relative squared error             93.7811 %
Total Number of Instances              400     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.615    0.366    0.615      0.615    0.615      0.250    0.700     0.693     0
                 0.634    0.385    0.634      0.634    0.634      0.250    0.700     0.707     1
Weighted Avg.    0.625    0.375    0.625      0.625    0.625      0.250    0.700     0.700     

=== Confusion Matrix ===

   a   b   <-- classified as
 120  75 |   a = 0
  75 130 |   b = 1
